Chapter 1180 The Returnee's Notes 254
There was a knock at the door. Yi's mother stubbed out her cigarette and a smile appeared on her face. A moment later, two children ran in.
"Mother!"
"Beep beep—"
After the call was disconnected, Xie Ning glanced back at Lu Qi. In the end, she didn't bring up the matter of the Yi family herself, but instead contacted the special department and asked them to give her some pointers.
Therefore, Lu Qi herself did not know whether Xie Ning knew the inside story. So when she returned to school, she asked Xie Ning to go out and talked about the matter, advising Xie Ning to stay away.
Only then was Xie Ning relieved.
Then Lu Qi also talked about her study abroad. Originally, her ideal goal was to study in the United States, but her father interfered, and in the end she only chose a school in the United Kingdom.
The Yi family is based in the United States.
Lu Qi knew his father's concerns, so he didn't make a fuss.
The sunlight was clear and bright at that moment, and Lu Qi couldn't help but take out a photo. It was of Sister Mingzhu. In the photo, she was wearing her usual dance practice clothes, a light blue gauze dress, and her smile was particularly bright.
But what she saw was a bitter curve.
This was sent by a special department, supposedly for Lu Jianhua, but she made a copy.
She was very mischievous when she was little, and only her sister Mingzhu would play with her. In her eyes, her sister Mingzhu was like a swan in a lake, elegant and beautiful.
Just like every little girl has an older sister she admires when she's young, Sister Mingzhu is her older sister.
Xie Ning left quietly without disturbing Lu Qi.
The weather is getting colder now, and the treetops are full of yellow leaves. When the wind blows, they fall onto the students' textbooks below, telling the story of the deepening autumn.
Xie Ning figured the guys in the lab probably hadn't eaten yet, so she went into the cafeteria and bought some food when she passed by.
Thinking of how much those people worked day and night, Xie Ning couldn't help but shake her head. Their experiment was progressing relatively quickly, but for the researchers involved, they always wished it could be even faster.
Upon entering the laboratory, you can see a row of robots lined up on one wall. Professor Clock is currently testing the I-3 generation robot.
The tests mainly focused on walking, running, and jumping, but the results were not ideal.
Xie Ning placed the bag she was carrying on the table and said softly, "Let's eat something first."
The team members cheered softly and then began to distribute the food Xie Ning had brought, while Xie Ning pushed open the innermost glass door.
The small room was filled with all sorts of computers. As soon as Xie Ning entered, a small robot on the desktop spoke up, "Welcome back, Xie Ning."
This is facial recognition, which then triggers the corresponding program.
Xie Ning stopped in her tracks, then turned around to face the little robot. "Good afternoon, Xiaomai."
This is the artificial intelligence they are researching, wheat.
Upon hearing Xie Ning's voice, Xiaomai responded, "Good afternoon, Xie Ning."
Xie Ning turned her gaze to Xiaomai, which now looked like nothing more than a small desktop robot, but it was the center of their research: artificial intelligence.
This concept can be traced back to the Turing Test in 1950, which provides evidence for whether machines can think.
A machine is said to possess intelligence if it can engage in conversation with humans via telematics without being identified as a machine.
The wheat has not yet passed this test.
The path of exploring artificial intelligence has been full of twists and turns.
Previously, the system relied on manually set rules and lacked the ability to understand the complexities of the real world.
Until the advent of digital technology and the Internet, artificial intelligence could learn rules autonomously based on the massive amounts of data available online, and even discover rules that humans could not discover.
Currently, the mainstream research in artificial intelligence is deep learning, which is also their current key research project.
As times change and develop, the emergence of GPU general-purpose computing technology has replaced the role of CPU. In particular, compared with the CPU, GPUs can perform similar repetitive operations in parallel much faster. Deep learning requires the analysis of massive amounts of training data to extract features and perform iterative calculations. The parallel computing structure of GPUs is undoubtedly very suitable for this need.
Its emergence has greatly accelerated the development of deep learning.
Training artificial neural networks requires a large amount of data. In the past, data was limited to information input into computers. However, with the popularization of the Internet and the rise of big data, the data pattern has naturally changed, which has laid the foundation for deep learning technology.
Xie Ning opened her thermos, took a sip of warm water to soothe her throat, and then turned on her computer to begin today's test, which required Xiaomai to identify the content in images. It needed to identify images containing butterflies from tens of millions of pictures.
The team member who came in after finishing his pancake glanced at Xie Ning's computer and said, "I tested it out this morning, but the results weren't very good."
I heard that similar tests have been conducted abroad and achieved great success, winning the championship in an image recognition challenge. However, they are still separated by a thick wall.
This inevitably made them somewhat frustrated.
The deep learning-based model achieved an image recognition rate of 84.7%, far exceeding other models, and it also reduced the error rate of last year's champion from 25.8% to 16.4%.
However, this also proves the superior performance of deep learning.
During the testing period, Xie Ning even took out a blank sheet of paper to draw design sketches, which can be described as blatantly slacking off.
However, the team member didn't notice and was still chatting with Xie Ning about his test that morning.
Xie Ning had already stopped writing and was listening attentively to the group member's analysis. After the two discussed it for a while, Xie Ning began to make changes, teaching him as she did so.
After making the changes, we tested them again. If the results were not ideal, we continued to make changes. Then we released the program to let the wheat learn from it. In the final test, the wheat made significantly fewer mistakes.
Even Xie Ning couldn't help but smile, which showed that the in-depth learning had yielded good results, and that this was all done without human intervention.
"Knock knock—"
"Xiao Ning, the teacher wants to see you."
The test over there is over. The robot that was just tested has now been disassembled. They need to replace the materials and reassemble it for another test.
Xie Ning went over to Professor Zhong and watched the test video with her. As things stand, Professor Zhong is quite satisfied with the test.
But when it comes to research, this level isn't enough; you have to keep getting better and better.
"It can perform a pre-programmed response based on the recognized image... but it has shortcomings in some details..."
The main problem lies in the design of the mechanical body itself; such humanoid robots find it difficult to achieve the same natural bodily responses as humans.
They still have a long way to go.
Professor Zhong wanted to ask Xie Ning if she had any better improvement plans, which he would submit to her in a couple of days.
Besides Xie Ning, everyone else also has to do it.
Xie Ning noted down all the shortcomings Professor Zhong had pointed out, and then asked, "Shouldn't the voice control test be next?"
"Okay, Fu Rong, bring out 06."
This mainly concerns research on speech recognition technology, which is still in its initial stage. Therefore, the person issuing the command needs to have standard pronunciation and cannot use loose, free-flowing spoken language, otherwise it will not be recognized.
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